Intensional performance
Intensional performance is defined as the capacity of a conceptual system C to refer a knowledge field K. The larger the relation between the extensions of K and C the larger the intentional performance of C.
The relative intensional performance of a set of definitions (re-framed) with respect to an original set is defined as the relation between the number of definitions in the original set with respect to the second, provided that K is preserved.
Thus, the intensional performance is better if a smaller set of definitions captures the same internal content as the original set.
The increase of intensional performance in glossaLAB
In the context of glossaLAB, a metatheory of knowledge systems is addressed as a framework offering guidance to increase performance at the theoretical level. To this end, a formal theory for the analysis and representation of knowledge integration is being developed. [1] [2] Its relevance, applied to the field of systems science was highlighted by Klir: “The comparison of individual conceptual frameworks used in individual approaches to general systems theory appears to be very difficult. A metatheory must be used to decide whether one concept is identical to, is different from, or is a proper subset of a concept drawn from an-other theory". [3]
Figure 1 illustrates the theoretical undertaking in the passage from the contents of the original corpora into ESSCO. GlossaLAB editorial team is committed to this work, assisted by a scientific council. At the same time, this team is in charge of leveraging the participation of the systems science community and the proper integration of the new contributions into ESSCO.
- ↑ Burgin, M., Díaz-Nafría, J.M. (2019). Introduction to the mathematical theory of knowledge integration: Conceptual systems and structures. Communications in Computer and Information Science, 1051, pp. 469-482. https://doi.org/10.1007/978-3-030-32475-9_34 [archivable version]
- ↑ Díaz-Nafría, J.M.; Burgin, M.; Rodríguez-Bravo, B. (2019). Knowledge structures and Conceptual Networks for Evaluation of Knowledge Integration. In G. Dodig-Crnkovic, M. Burgin (eds.), Philosophy and Methodology of Information, pp.457-490, Singapore: World Scientific. [archivable version]
- ↑ Klir, G.J. (ed.) (1972). Trend in General Systems Theory. New York: John Wiley & Sons.